Morning Briefing
Multi-source AI orchestration, daily production use
Problem
Every morning I was doing the same routine: check the weather, open my calendar, scan three news sites for AI updates relevant to my brands, and try to remember what I shipped yesterday. It took 10–20 minutes before I started working.
The worst part was not the time. It was that I had no system connecting what happened yesterday to what I should do today.
Stack
Two connected Make.com scenarios power the system. A feeder bot called Claude Sessions Sync runs every hour, pulling session logs from Notion, iterating through entries, and logging them into Google Sheets. The Morning Briefing scenario runs once daily at 08:00, pulling from that same sheet plus a weather API, Google Calendar, and three RSS feeds. Claude API synthesizes everything into a single structured Telegram message.
Flow diagram
Layer 1 — Claude Sessions Sync (every hour)
Notion → Iterator → Google Sheets → Notion

Layer 2 — Morning Briefing (daily 08:00)
Google Sheets → Text Aggregator → Weather API → Google Calendar → RSS ×3 → Set Variable → Claude API → Telegram

Total execution: ~21 seconds, 10 operations.
The output has six sections: TLDR, WEATHER, YESTERDAY (from session logs), AI SIGNAL (news tied to brand positioning), CONTENT NUDGE (specific content suggestion), and CALENDAR.

Prompt iterations
First prompt: wall of text, no structure. Round 1 added section headers. Round 2 changed the tone from corporate to conversational. Round 3 gave Claude context about my brands so it connects news to my positioning.
That turned AI SIGNAL from generic news into strategic analysis and enabled the CONTENT NUDGE section.
Failures fixed
Silent failures
Scenario failed with no notification. Added error routes that alert via Telegram.
Partial output
Special characters in Google Sheets broke parsing. Added a text cleaning step.
Error handling complexity
Make.com retry logic and fallback routes took multiple iterations to get right.
Result
Runs every day at 08:00, zero manual input. Under 2 minutes to read. Replaced 10–20 minutes of tab-hopping. ~133 Make.com credits per week. Running in production daily without interruption.